📄 svm_scale_firsttime_newlibsvm.m
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function [scaled , scale_parameter] = svm_scale_firsttime_newlibsvm(Data, Lower, Upper)
% Usages:
% [scaled , MinV , MaxV] = svm_scale_firsttime_newlibsvm(Data, Lower, Upper)
% scales each dimension (col) of the "Data" to ["Lower" "Upper"] (default
% are [-1 1]. The outputs are the scaled data "scaled", the scale_parameter
% are to be used for scaling of the future data.
%
% Examples:
% For the osu_svm data with rows of feature vectors,
% [scaled , scale_parameter] = svm_scale_firsttime_newlibsvm(Data);
%
% By Tian Tsong Ng, July 2005
if (nargin<3)
Lower = -1;
Upper = 1;
elseif (Lower > Upper)
disp (['Wrong Lower or Upper values!']);
end
[MaxV, I]=max(Data);
[MinV, I]=min(Data);
[R,C]= size(Data);
gap = MaxV-MinV;
I = find(gap==0);
gap(I) = 1;
scaled=(Data-ones(R,1)*MinV).*(ones(R,1)*((Upper-Lower)*ones(1,C)./gap))+Lower;
scale_parameter = struct('Lower',Lower,'Upper',Upper,'MinV',MinV,'MaxV',MaxV);
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